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Introduction to the principles and methods underlying the recovery of metagenome-assembled genomes from metagenomic data.

Gleb GoussarovMohamed MysaraPeter VandammeRob Van Houdt
Published in: MicrobiologyOpen (2022)
The rise of metagenomics offers a leap forward for understanding the genetic diversity of microorganisms in many different complex environments by providing a platform that can identify potentially unlimited numbers of known and novel microorganisms. As such, it is impossible to imagine new major initiatives without metagenomics. Nevertheless, it represents a relatively new discipline with various levels of complexity and demands on bioinformatics. The underlying principles and methods used in metagenomics are often seen as common knowledge and often not detailed or fragmented. Therefore, we reviewed these to guide microbiologists in taking the first steps into metagenomics. We specifically focus on a workflow aimed at reconstructing individual genomes, that is, metagenome-assembled genomes, integrating DNA sequencing, assembly, binning, identification and annotation.
Keyphrases
  • genetic diversity
  • electronic health record
  • circulating tumor
  • big data
  • antibiotic resistance genes
  • wastewater treatment
  • data analysis
  • artificial intelligence
  • nucleic acid